Machine Learning Basics

Resumen

Sharpen your digital skills by leveraging predictive analytics across multiple industries with machine learning at the forefront. In collaboration with FutureLearn, join Sungkyunkwan University for a four-week course and stay ahead of the competition.

Enhance your understanding of AI and machine learning's core ideas to become a tech-savvy player in the digital age.

This course covers:

• An introduction to data-driven machine learning, its definitions, and its applications in finding patterns, predicting data trends, and automating decision-making.
• Exploration of machine learning models like supervised, unsupervised, and reinforcement learning.
• In-depth study of the k-Nearest Neighbours (kNN) algorithm, its fundamental concepts, variations, and applications.
• Application of linear regression for continuous outcomes and logistic regression for classifying binary outcomes.

By course completion, gain essential AI skills and a solid understanding of machine learning fundamentals. This is perfect for those curious about AI, with an existing proficiency in Python recommended.

Categories include Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Reinforcement Learning Courses, Supervised Learning Courses, Unsupervised Learning Courses, Predictive Analytics Courses, Linear Regression Courses, and Logistic Regression Courses, offered by FutureLearn.

Materias